Thursday, April 9, 2009

Research Helps Protect Against Lightning Damage

Research Helps Protect Against Lightning Damage

Studies Benefit Utilities, Manufacturers and Consumers
Atlanta (February 4, 2009) —Firing bolts of lightning at expensive electrical equipment is all in a day’s work at NEETRAC – the National Electric Energy Testing Research and Applications Center. The goal for the lightning research and other testing done by the center is to improve reliability for the nation’s electric energy transmission and distribution system.

The 2.2 million-volt impulse generator needed to produce artificial lightning is just one part of the test gear used to evaluate utility industry equipment that ranges from wooden poles and aluminum transmission lines to transformers and switches. Part of Georgia Tech’s School of Electrical and Computer Engineering, the center is supported by 32 equipment manufacturers and utility companies that provide nearly 60 percent of the electricity used in the United States.
A major part of the work is ensuring reliability during the lightning storms that threaten utilities and their customers.
“Lightning is electricity of the wrong sort,” explained Rick Hartlein, NEETRAC’s director. “Electric utilities must do a number of things to keep lightning from damaging the power delivery system, which can cause power outages or damage to equipment plugged into electrical outlets in homes and businesses.”

Thunderstorms can produce more than 100 million volts – compared to the 120 volts in household wall outlets and 240 volts that power large home appliances. To deal with those added millions of volts, utilities rely on a complex array of lightning arrestors, static lines and grounding systems.
Lightning arrestors, for instance, contain special materials that under normal conditions do not permit the flow of electrical current. But when they sense a sudden surge of electricity from a lightning strike, they change properties in a few microseconds, becoming conductors rather than insulators. When strategically placed on the electric grid, the arrestors carry the lightning surges away to the ground – after which the arrestors return to their role as insulators.
Without the arrestors, lightning could arc across the insulators that support power lines, causing interruptions and damaging other equipment. In severe cases, the damage could cause line circuit breakers to trip, resulting in power outages to businesses, hospitals and whole communities.
At NEETRAC’s facilities near Atlanta’s Hartsfield-Jackson International Airport, Hartlein and his research team evaluate the arrestors and help utilities choose the right locations for them.
“Lightning arrestors are not inexpensive devices and they must be maintained once they are put on the system,” Hartlein said. “You want to distribute them on the system frequently enough to protect it, but not so frequently that you are wasting money.”
After multiple lightning strikes and years out in the elements, lightning arrestors themselves can fail, creating a momentary short-circuit on the power grid. If that happens, a device built into the arrestors senses the problem and fires a tiny explosive charge that physically disconnects the faulty arrestor from the distribution system. NEETRAC has developed specialized laboratory testing procedures to evaluate the performance of these devices. Helping the industry develop better equipment requires an understanding of lightning and how it works. For instance, though it’s generally not visible to the human eye, most lightning strikes in the Southeast are made up of between three and five separate pulses between 30 and 120 milliseconds apart, each one containing potentially damaging electrical energy.
In the Southeast, 90 percent of lightning has a negative charge. But positively-charged lightning also occurs, most often in the winter. Positive lightning ionizes the atmosphere more efficiently than negative lightning and can therefore travel longer distances.
“Positive lightning can travel 10 miles from the storm before striking an object on the ground, so the storm clouds may not even be visible when the lightning strikes,” said Ray Hill, a research technologist with NEETRAC. “This is the source of what people call a ‘bolt from the blue.’ Because it tends to be a single pulse, positive lightning can be more dangerous since all of the energy is in a single stroke – and people aren’t expecting it.”
Though NEETRAC’s lightning impulse generator can create explosive results, most testing at the center’s facilities is less dramatic. For instance, salt fog chambers simulate long-term exposure in moist and corrosive environments to study how utility system components will withstand years of exposure to the elements. Strong ultraviolet lights and high temperatures test the ability of rubber seals to withstand summertime heat and strong sunlight while keeping moisture away from sensitive components. Computer simulations developed by Sakis Meliopoulos, a member of the Georgia Tech electric power faculty, help determine the most efficient way to ground the electric grid, which provides the only effective way to control damaging current. “The utility companies do a lot to keep lightning from damaging their systems, which helps keep the lights on,” Hill added. “When it comes down to that last bit of lightning protection for the service that comes into a home, consumers should consider additional surge protection, particularly for electronic equipment. But nothing is absolute – all you can really do with lightning protection is to get the odds in your favor.”

Writer: John Toon
From Research News & Publications Office
Georgia Institute of Technology

The idea of using artificial neural network in measurement system with hot probe for testing parameters of heat-insulating materials

Stanislaw Chudzika,
a.Institute of Electronics and Control Systems, Czestochowa University of Technology, al. Armii Krajowej 17, 42-200 Czestochowa, Poland
Received 30 April 2007;
revised 17 November 2008;
accepted 29 December 2008.
Available online 14 January 2009.

Abstract
The article presents a mathematical model of a measurement system with hot probe for testing thermal parameters of heat-insulating materials. Currently in situ measurement of thermal conductivity is widely done by the line heat source (LHS) method. The basic problem with this method is the number and type of the assumptions needed. In this study, another method was proposed to measure the thermal parameters by using an artificial neural network. The model of a nonstationary heat flow process in the sample of material with hot probe and auxiliary thermometer is based on a two-dimensional heat-conduction model. For solving a system of partial differential equations that describe the model, the finite element method (FEM) was applied. The measurement system uses an artificial neural network (ANN) to estimate the coefficients of inverse heat conduction problem for solid. The network determines the value of effective thermal conductivity and effective thermal diffusivity on the basis of temperature responses of hot probe and auxiliary thermometer. In developing of the ANN model, several configurations were evaluated. The optimal ANN model was capable of predicting the thermal conductivity values with a relative error <1%. The influence of measurands errors on identified values of the thermal parameters was analysed. Learning process and simulation analyses were conducted in the Matlab environment. It is possible to implement the architecture of a trained neural network with a simple microcontroller embedded system.

Keywords: Neural networks; Thermal conductivity; Thermal diffusivity; Inverse heat conduction problem
Article Outline
1. Introduction
2. The idea of measurement system with hot probe
3. Mathematic model and results of the simulation of a nonstationary heat flow process in the sample
4. The application of artificial neural networks for thermal parameters identification
5. Results of simulations
6. Conclusion
Acknowledgements
References

Taken from Sciencedirect.

On-line detecting of transformer winding deformation based on parameter identification of leakage inductance

Transformers are required to demonstrate the ability to withstand short circuit currents. Over currents caused by short circuit can give rise to windings deformation. In this paper, a novel method is proposed to monitor the state of transformer windings, which is achieved through on-line detecting the leakage inductance of the windings. Specifically, the mathematical model is established for on-line identifying the leakage inductance of the windings by applying least square algorithm (LSA) to the equivalent circuit equations. The effect of measurement and model inaccuracy on the identification error is analyzed, and the corrected model is also given to decrease these adverse effect on the results. Finally, dynamic test is carried out to verify our method. The test results clearly show that our method is very accurate even under the fluctuation of load or power factor. Therefore, our method can be effectively used to on-line detect the windings deformation.
作 者:
Hao Zhiguo Zhang Baohui Li Peng
作者单位:
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

刊 名:
西安交通大学学报(英文版)
英文刊名:
ACADEMIC JOURNAL OF XI'AN